Wan v2.7 Reference-to-Video
Wan v2.7 Reference-to-Video is the Wan 2.7 reference-to-video model from Alibaba, generating new scenes from reference images and videos with combined subject and voice referencing at 720p or 1080p.
import { experimental_generateVideo as generateVideo } from 'ai';
const result = await generateVideo({ model: 'alibaba/wan-v2.7-r2v', prompt: 'A serene mountain lake at sunrise.'});Frequently Asked Questions
What reference inputs does Wan v2.7 Reference-to-Video accept?
Wan v2.7 Reference-to-Video accepts reference images, reference videos, or both together, plus an optional text prompt describing the scene to generate. Up to three reference videos can be attached to a single generation.
What durations and resolutions does Wan v2.7 Reference-to-Video support?
Clips run 2 to 10 seconds, with a default of 5 seconds, at 720p or 1080p. Five aspect ratios are available: 16:9, 9:16, 1:1, 4:3, and 3:4.
How does Wan v2.7 Reference-to-Video differ from the previous Wan reference-to-video model?
Wan v2.7 Reference-to-Video adds combined subject and voice referencing, so appearance and vocal identity bind together from your reference material. Motion is also smoother and more coherent than in the 2.6 generation.
Can Wan v2.7 Reference-to-Video keep a subject's voice consistent across generations?
Yes. Combined subject and voice referencing carries a referenced subject's vocal identity into the generated output alongside their visual appearance, keeping both consistent in new scenes.
How do I use Wan v2.7 Reference-to-Video through AI Gateway?
Call Wan v2.7 Reference-to-Video with
generateVideofrom the AI SDK, passing your reference images or videos and an optional prompt. You can also try prompts first in the playground on this page.Does AI Gateway offer Zero Data Retention for Wan v2.7 Reference-to-Video?
Zero Data Retention is not currently available for this model. Zero Data Retention is offered on a per-provider basis. See https://vercel.com/docs/ai-gateway/capabilities/zdr for details.